ArticleApplied clinical informatics2011
Awareness of the Care Team in Electronic Health Records.
Article in Applied clinical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Exploring "patient-centered" hospitals: a systematic review to understand change.BMC health services research · 2017Pooled it
- Engaging hospitalized patients in clinical care: Study protocol for a pragmatic randomized controlled trial.Contemporary clinical trials · 2016Trial
- Using electronic health record audit logs to identify pediatric intensive care unit teams.JAMIA open · 2026Article
- Algorithmic Identification of the Daily Primary Frontline Clinician during Inpatient Medicine Encounters Using EHR Audit Log Data.Applied clinical informatics · 2026Article
- Perspectives on the Intersection of Electronic Health Records and Health Care Team Communication, Function, and Well-being.JAMA network open · 2023Article
- Characterizing intensive care unit rounding teams using meta-data from the electronic health record.Journal of critical care · 2022Article
- The Use of Electronic Health Record Metadata to Identify Nurse-Patient Assignments in the Intensive Care Unit: Algorithm Development and Validation.JMIR medical informatics · 2022Article
- Attributing Patients to Pediatric Residents Using Electronic Health Record Features Augmented with Audit Logs.Applied clinical informatics · 2020Article
- Why Should I Trust You? Supporting the Sharing of Health Data in the Interprofessional Space of Child Development.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Automatic Detection of Front-Line Clinician Hospital Shifts: A Novel Use of Electronic Health Record Timestamp Data.Applied clinical informatics · 2019Article
- The use of model constructs to design collaborative health information technologies: A case study to support child development.Journal of biomedical informatics · 2018Article
- Using telephony data to facilitate discovery of clinical workflows.Applied clinical informatics · 2017Article
- The electronic health record audit file: the patient is waiting.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Leveraging electronic health record documentation for Failure Mode and Effects Analysis team identification.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Formative Evaluation of Care Nexus: a Tool for the Visualization and Management of Care Teams of Complex Pediatric Patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Characterizing Teamwork in Cardiovascular Care Outcomes: A Network Analytics Approach.Circulation. Cardiovascular quality and outcomes · 2016Article
- A Design Methodology for Medical Processes.Applied clinical informatics · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo support collaboration and clinician-targeted decision support, electronic health records (EHRs) must contain accurate information about patients' care providers. The objective of this study was to evaluate two approaches for care provider identification employed within a commercial EHR at a large academic medical center.
methodsWe performed a retrospective review of EHR data for 121 patients in two cardiology wards during a four-week period. System audit logs of chart accesses were analyzed to identify the clinicians who were likely participating in the patients' hospital care. The audit log data were compared with two functions in the EHR for documenting care team membership: 1) a vendor-supplied module called "Care Providers", and 2) a custom "Designate Provider" order that was created primarily to improve accuracy of the attending physician of record documentation.
resultsFor patients with a 3-5 day hospital stay, an average of 30.8 clinicians accessed the electronic chart, including 10.2 nurses, 1.4 attending physicians, 2.3 residents, and 5.4 physician assistants. The Care Providers module identified 2.7 clinicians/patient (1.8 attending physicians and 0.9 nurses). The Designate Provider order identified 2.1 clinicians/patient (1.1 attending physicians, 0.2 resident physicians, and 0.8 physician assistants). Information about other members of patients' care teams (social workers, dietitians, pharmacists, etc.) was absent.
conclusionsThe two methods for specifying care team information failed to identify numerous individuals involved in patients' care, suggesting that commercial EHRs may not provide adequate tools for care team designation. Improvements to EHR tools could foster greater collaboration among care teams and reduce communication-related risks to patient safety.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.